The separation among populations and the adaptive-gathering in a population are achieved by local evolution, so the multi-model function optimization is transformed to unimodal function optimization.
以局部演化的方式，实现了种群间分离与种群内自聚集，使多峰函数优化问题转化为单峰函数优化问题。
To improve the global astringency of evolutionary algorithm, an algorithm based on multi-population concurrent evolution is proposed.
为了提高进化算法的全局收敛性，提出了一种多种群同时进化的算法。
The mathematics model of the multi-population co-evolution algorithm and the symbol deduction theory model of multi-agent system based on co-evolution mechanism are theory bases of whole paper.
多群体协进化算法数学模型及基于协进化的多智能体系统的符号演绎理论模型，是全文的理论基础。
应用推荐